Artificial Intelligence as a Strategic Resource in NBA Management

Artificial intelligence has rapidly shifted from a peripheral technological tool to a central driver of innovation across industries, and professional sports are no exception. Within the National Basketball Association, AI applications have expanded beyond performance analytics into strategic, operational, and managerial domains. This paper positions AI as a strategic resource by applying the Resource-Based Theory (RBT), which emphasizes the importance of valuable, rare, inimitable, and non-substitutable resources in sustaining competitive advantage. Prior studies have illustrated the transformative role of analytics in player evaluation, injury prevention, tactical adjustments, and fan engagement, yet there is limited research that systematically frames these developments through the lens of RBT. By synthesizing existing literature and NBA-specific studies, this research argues that AI functions as a dynamic asset that enhances talent management, strengthens decision-making, and optimizes organizational efficiency. The methodology relies on a quantitative assessment of secondary data and prior empirical studies that measure AI-driven outcomes in basketball contexts, including performance metrics, coaching decisions, and operational cost savings. Findings indicate that NBA franchises integrating advanced analytics and AI systems, such as micromovement tracking and predictive modeling, achieve measurable advantages in player utilization, game planning, and resource allocation compared to less technologically adaptive organizations. Additionally, the results highlight that investment in AI infrastructure correlates with long-term organizational resilience and sustained success, supporting RBT’s assertion that strategic resources underpin competitive positioning. Discussion focuses on the implications for league-wide equity, as disparities in technological adoption may widen performance gaps, and considers the potential for AI to evolve as both a tangible and intangible asset that redefines how NBA teams conceptualize value creation. Future opportunities include the expansion of AI into fan personalization, virtual and augmented reality experiences, and enhanced global market strategies, all of which further illustrate AI’s role as a foundational resource for modern sports management. This paper contributes to academic discourse by extending RBT into the sports industry while offering practical insights for NBA executives, coaches, and policymakers seeking to leverage AI for strategic advantage.